Group 1 - The 2025 Jiangsu Industry-University-Research Cooperation Conference was held in Nanjing, showcasing over 4,100 technology achievements from universities and research institutions, and more than 3,600 technology demands from enterprises, facilitating connections among over 4,000 companies and experts [1][2] - The conference emphasized the theme of "Technology Empowering New Quality Production Capacity and Innovative Integration Development," aiming to deepen the integration of technological and industrial innovation [1][2] - Jiangsu has hosted this conference for three consecutive years, focusing on key industrial directions and new fields to promote a globally influential industrial technology innovation center [1][2] Group 2 - Notable innovations included the "Interface Photothermal Lithium Extraction Device" from Nanjing University, which utilizes solar energy for lithium extraction from salt lakes without additional energy [2] - The conference featured various agricultural innovations from Nanjing Agricultural University, including new varieties of chrysanthemums and pears, attracting significant interest from enterprises [2] - The Jiangsu provincial government increased its basic research funding from 2.48 billion to 2.68 billion yuan this year to enhance high-quality technological supply [3] Group 3 - The conference included four specialized matchmaking sessions, resulting in the signing of 32 major industry-university-research cooperation projects with a total funding of over 2.2 billion yuan [5] - The "Double High Collaboration" initiative aims to foster innovation between high-tech zones and higher education institutions, with 61 provincial high-tech zones and 175 universities identified as key players [5][6] - Various projects were announced, including a 20 million yuan fund for technology transfer and collaboration between companies and universities in fields such as intelligent manufacturing and biomedical technology [6] Group 4 - The conference also featured technology roadshows from universities, including a drone cleaning system for high-rise buildings developed by Hong Kong Polytechnic University, aimed at addressing labor-intensive and risky traditional cleaning methods [7] - Companies like SimiTech showcased their advanced audio systems, seeking partnerships to explore diverse application scenarios [8] - Over the past two years, Jiangsu has hosted more than 3,000 industry-university-research matchmaking events, resulting in over 13,000 collaborations and an investment of 126 billion yuan [8]

Core Insights - A recent experiment at Tsinghua University involved students wearing portable brain-computer interface systems, known as EEG caps, to capture their brain activity while enjoying a live performance, aiming to decode their aesthetic experiences [1][2][4] - This research marks the first application of non-invasive brain-computer interface technology in a real performance setting in China, providing insights into the neural activity patterns during art appreciation [1][4] Group 1: Research Objectives and Methodology - The primary goal of the experiment is to explore the neural activity patterns associated with aesthetic experiences during live performances, enhancing the understanding of why live viewing is more impactful [2][4] - The EEG caps worn by students are equipped with silver electrodes to collect brain signals, which are transmitted wirelessly to a data center for analysis of physiological responses during artistic experiences [4] Group 2: Technological Context and Applications - Brain-computer interface technology is a cutting-edge human-machine interaction tool that captures and decodes brain signals, enabling communication between the brain and machines [2] - The technology has seen rapid development and application in China, including uses in disease diagnosis, safety monitoring in high-risk jobs, rehabilitation, and treatment of neurological disorders like Parkinson's and epilepsy [2]

Core Insights - The establishment of the brain-computer interface (BCI) outpatient clinic at Huazhong University of Science and Technology's Tongji Hospital marks a significant advancement in the application of neuroscience and artificial intelligence in medical treatment in Hubei province [1][6] Group 1: Patient Experience - The first patient, Ms. Xia, successfully underwent non-invasive brain signal collection, expressing confidence in her future rehabilitation [1][2] - Ms. Xia suffered from left-side paralysis due to a brain hemorrhage and sought better treatment options after limited success with various therapies [2][4] Group 2: Clinical Procedures - The outpatient clinic employs both invasive and non-invasive BCI methods, with a team of neurologists and neurosurgeons assessing patients to determine the most suitable treatment [4][10] - Ms. Xia underwent a series of evaluations, including a behavioral assessment where she scored 13 out of 57, indicating moderate paralysis [4][5] Group 3: Technology and Methodology - The BCI clinic utilizes a dual-signal collection system, combining 32-channel electrical signals and a 90-channel near-infrared signal system, improving accuracy to 75% [5] - The brain signal collection process took approximately 30 minutes, with data analyzed through artificial intelligence algorithms and manual review [5][10] Group 4: Future Developments - The hospital plans to conduct clinical trials for semi-invasive BCI procedures, targeting conditions such as spinal cord injuries and aiming to enhance patient functionality through thought-controlled movements [6][10] - The BCI outpatient clinic will provide nationwide access to BCI technology assessments and treatment consultations, establishing a long-term follow-up database to support ongoing technology optimization [10]